{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python3",
   "display_name": "DataAnalysis"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tools import *\n",
    "%matplotlib inline"
   ]
  },
  {
   "source": [
    "# Chap4 编写结构化的程序\n",
    "1.  怎样才能写出结构良好，可读性强的程序，从而方便重用？\n",
    "2.  基本的结构块，例如：循环、函数和赋值是如何执行的？\n",
    "3.  Python 编程的陷阱还有哪些，如何避免它们？"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## 4.8 Python库的样例(P183)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### 4.8.1 Matplotlib 绘图工具"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n",
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\n"
     },
     "metadata": {
      "needs_background": "dark"
     }
    }
   ],
   "source": [
    "# Ex4-10：布朗语料库中不同部分的情态动词频率\n",
    "colors = 'rgbcmyk'  # red, green, blue, cyan, magenta, yellow, black\n",
    "\n",
    "\n",
    "def bar_chart(categories, words, counts):\n",
    "    \"\"\"Plot a bar chart showing counts for each word by category\"\"\"\n",
    "    import pylab\n",
    "    ind = pylab.arange(len(words))\n",
    "    width = 1 / (len(categories) + 1)\n",
    "    bar_groups = []\n",
    "    for c in range(len(categories)):\n",
    "        bars = plt.bar(ind + c * width, counts[categories[c]], width, color=colors[c % len(colors)])\n",
    "        bar_groups.append(bars)\n",
    "    plt.xticks(ind + width, words)\n",
    "    plt.legend([b[0] for b in bar_groups], categories, loc='upper left')\n",
    "    plt.ylabel('频率')\n",
    "    plt.title('Genre 风格的文章中 6 个情态动词的频率')\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "genres = ['news', 'religion', 'hobbies', 'government', 'adventure']\n",
    "modals = ['can', 'could', 'may', 'might', 'must', 'will']\n",
    "cfdist = nltk.ConditionalFreqDist(\n",
    "        (genre, word)\n",
    "        for genre in genres\n",
    "        for word in nltk.corpus.brown.words(categories=genre)\n",
    "        if word in modals\n",
    ")\n",
    "\n",
    "counts = {}\n",
    "for genre in genres:\n",
    "    counts[genre] = [cfdist[genre][word] for word in modals]\n",
    "\n",
    "bar_chart(genres, modals, counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Content-Type: text/html\n\n<html><body>\n<img src=\"modals.png\"/>\n</body></html>\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "import sys\n",
    "\n",
    "sys.setrecursionlimit(100000)  \n",
    "# 设置递归深度为100000，避免递归深度不够，导致pyplot.savefig()报错\n",
    "\n",
    "from matplotlib import use, pyplot\n",
    "\n",
    "use('Agg')\n",
    "pyplot.savefig('modals.png')  \n",
    "# RecursionError: maximum recursion depth exceeded，因为递归深度超过1000\n",
    "print('Content-Type: text/html')\n",
    "print()\n",
    "print('<html><body>')\n",
    "print('<img src=\"modals.png\"/>')\n",
    "print('</body></html>')"
   ]
  },
  {
   "source": [
    "# 4.8.2 NetworkX(P182)\n",
    "NetworkX包定义和操作由节点和边组成的结构（称为图）。"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# Ex4-11：使用NetworkX 和 Matplotlib 结合来可视化WordNet的网络结构（语义网络）\n",
    "import networkx as nx\n",
    "import matplotlib\n",
    "from nltk.corpus import wordnet as wn\n",
    "\n",
    "\n",
    "def traverse(graph, start, node):\n",
    "    graph.depth[node.name] = node.shortest_path_distance(start)\n",
    "    for child in node.hyponyms():\n",
    "        graph.add_edge(node.name, child.name)\n",
    "        traverse(graph, start, child)\n",
    "\n",
    "\n",
    "def hyponym_graph(start):\n",
    "    G = nx.Graph()\n",
    "    G.depth = {}\n",
    "    traverse(G, start, start)\n",
    "    return G\n",
    "\n",
    "\n",
    "def graph_draw(graph):\n",
    "    nx.draw(graph,\n",
    "            node_size=[16 * graph.degree(n) for n in graph],\n",
    "            node_color=[graph.depth[n] for n in graph],\n",
    "            with_labels=False)\n",
    "    matplotlib.pyplot.show()\n",
    "\n",
    "\n",
    "dog = wn.synset('dog.n.01')\n",
    "graph = hyponym_graph(dog)\n",
    "graph_draw(graph)"
   ]
  },
  {
   "source": [
    "### 4.8.3 CSV(Comma-separated values, 逗号分隔型取值格式)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "csv.reader(input_file)=  <_csv.reader object at 0x00000000120B06C8>\nlist(csv.reader(input_file))=  [['sleep', ' sli:p', ' v.i', ' a condition of body and mind...'], ['walk', ' wo:k', ' v.intr', ' progress by lifting and setting down each foot...'], ['wake', ' weik', ' intrans', ' cease to sleep']]\n['sleep', ' sli:p', ' v.i', ' a condition of body and mind...']\n['walk', ' wo:k', ' v.intr', ' progress by lifting and setting down each foot...']\n['wake', ' weik', ' intrans', ' cease to sleep']\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "# 不能使用'b'，即bytes格式读取会报错\n",
    "input_file = open('PythonNLP/dict.files/lexicon.csv', 'rb')\n",
    "print(\"csv.reader(input_file)= \",csv.reader(input_file))\n",
    "input_file = open('PythonNLP/dict.files/lexicon.csv')\n",
    "print(\"list(csv.reader(input_file))= \",list(csv.reader(input_file)))\n",
    "input_file.seek(0)  # 文件内容读出后，需要重新将指针归零，才能再次读出数据\n",
    "for row in csv.reader(input_file):\n",
    "    print(row)"
   ]
  },
  {
   "source": [
    "### 4.8.4 NumPy"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "cube[1, 1, 1]=  4\n--------------- >cube[2, 1:]< ---------------\n[[7 7 7]\n [8 8 8]]\n--------------- >cube[2].transpose()< ---------------\n[[6 7 8]\n [6 7 8]\n [6 7 8]]\n"
     ]
    }
   ],
   "source": [
    "from numpy import array\n",
    "\n",
    "cube = array([[[0, 0, 0], [1, 1, 1], [2, 2, 2]],\n",
    "              [[3, 3, 3], [4, 4, 4], [5, 5, 5]],\n",
    "              [[6, 6, 6], [7, 7, 7], [8, 8, 8]]])\n",
    "print(\"cube[1, 1, 1]= \", cube[1, 1, 1])\n",
    "show_subtitle(\"cube[2, 1:]\")\n",
    "print(cube[2, 1:])\n",
    "show_subtitle(\"cube[2].transpose()\")\n",
    "print(cube[2].transpose())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "--------------- >u< ---------------\n[[-0.447 -0.894]\n [-0.894  0.447]]\n--------------- >s< ---------------\n[6.325 3.162]\n--------------- >vt< ---------------\n[[-0.707  0.707]\n [-0.707 -0.707]]\n"
     ]
    }
   ],
   "source": [
    "# Numpy 提供了线性代数函数。\n",
    "# 可以进行矩阵的奇异值分解，应用在潜在语义分析中，帮助识别文档集合中的隐含概念。\n",
    "from numpy import linalg\n",
    "\n",
    "a = array([[4, 0], [3, -5]])\n",
    "u, s, vt = linalg.svd(a)\n",
    "show_subtitle(\"u\")\n",
    "print(u)\n",
    "show_subtitle(\"s\")\n",
    "print(s)\n",
    "show_subtitle(\"vt\")\n",
    "print(vt)"
   ]
  },
  {
   "source": [
    "### 4.8.5 其他 Python 库\n",
    "\n",
    "-   关系数据库：mysql-python\n",
    "-   大数据集合：PyLucene\n",
    "-   PDF: pypdf\n",
    "-   MSWord: pywin32\n",
    "-   XML: xml.etree\n",
    "-   RSS: feedparser\n",
    "-   e-mail: imaplib, email"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## 4.9 小结\n",
    "\n",
    "-   使用对象引用进行 Python 赋值和参数传递。\n",
    "-   使用 is 测试对象是否相同，使用 == 测试对象是否相等\n",
    "-   字符串、链表 和 元组 是不同类型的序列对象，支持常用的序列操作(索引、切片、len()、sorted()、使用 in 的成员测试)\n",
    "-   通过打开文件将文本写入到文件中\n",
    "-   声明式的编程风格使用代码更加简洁可读\n",
    "-   函数是编程的抽象化过程，关键概念(参数传递、变量范围 和 docstrings)\n",
    "-   函数作为命名空间，在函数内部定义的变量名称在函数外部是不可见的，除非宣布为全局变量\n",
    "-   模块允许将材料与本地的文件逻辑关联起来。模块作为命名空间，在模块内部定义的变量和函数在模块外部是不可见的，除非这些名称被其他模块导入\n",
    "-   动态规划是一种在NLP中广泛使用的算法设计技术，通过存储以前的计算结果，避免重复计算"
   ],
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}